A shape-from-silhouette method for 3D reconstruction of a convex polyhedron

Abstract

We present a pipeline to recover precisely the geometry of a convex polyhedral object from multiple views under circular motion. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images. Compared to standard structure-from-motion pipelines, the method is well suited to the 3D-reconstruction of low-textured and non-Lambertian materials. Experiments on synthetic and real datasets show the efficacy of the proposed framework.